CONSUMERS’ PERCEPTIONS OF HEALTH AND FACTORS INFLUENCING FULFILMENT OF THE NEED FOR HEALTHCARE IN EU COUNTRIES

dc.contributor.authorAntošová, Irena
dc.contributor.authorHazuchová, Naďa
dc.contributor.authorStávková, Jana
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2022-09-22T07:58:20Z
dc.date.available2022-09-22T07:58:20Z
dc.description.abstractThe paper deals with subjective perceptions of health by individuals. The research aimed at understanding socioeconomic and demographic factors influencing the fulfilment of healthcare needs and at finding out categories of factors that lead to the highest chances of meeting the need in consumer segments formed according to perceptions of their health status. The analyses were based on the EU-SILC database of primary data on the income situation and living conditions of households. In 2017, the database included extra questions on health. The method of cluster analysis was employed. As a result, three clusters of individuals representing EU countries formed depending on the perceived state of health – the authors named the clusters ‘optimistic’, ‘neutral’, and ‘pessimistic’. For each segment, the binary logistic regression was applied to determine categories of factors leading to the highest probability of meeting the healthcare need. The greatest influence over the fulfilment of the need for healthcare has been confirmed for the factor “Sector of economic activity”, followed by the type of economic activity. Some differences were revealed between segments. For example in the third segment, i.e., respondents who rated worst their health, a strong influence of education has been identified. The highest chances of meeting the need for health care are achieved in the first segment by executives, but in the second and the third segment by individuals active in education. On the other hand, craftsmen and workers have the lowest chances. In all segments, the influence of household composition was confirmed, with single households and single-parent households reporting lower chances of meeting their healthcare needs. Respondents who did not feel their healthcare need was met mostly said it was due to financial reasons, long waiting times, or fear of medical treatment.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2022-3-002
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/166027
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAtkinson, A., & Marlier, E. (2010). Income and Living Conditions in Europe. Luxembourg: Publications Office of the European Union.
dc.relation.isbasedonBanthin, J., Cunningham, P., & Bernard, D. M. (2008). Financial Burden of Health Care, 2001–2004. Health Affairs, 27(1), 188–195. https://doi.org/10.1377/hlthaff.27.1.188
dc.relation.isbasedonBlumberg, L., Waidmann, T. A., Blavin, F., & Roth, J. (2014). Trends in Health Care Financial Burdens, 2001 to 2009. Milbank Quarterly, 92(1), 88–113. https://doi.org/10.1111/1468-0009.12042
dc.relation.isbasedonBorisova, L. V. (2019). Objective and subjective determinants of self-rated health in Central and Eastern Europe: a multilevel approach. Central European Journal of Public Health, 27(2), 145–152. https://doi.org/10.21101/cejph.a5226
dc.relation.isbasedonCallander, E. J., Fox, H., & Lindsay, D. (2019). Out-of-pocket healthcare expenditure in Australia: trends, inequalities and the impact on household living standards in a high-income country with a universal health care system. Health Economics Review, 9(1), 1–8. https://doi.org/10.1186/s13561-019-0227-9
dc.relation.isbasedonCazacu, L., & Oprescu, A. E. (2015). Healthcare Marketing – A Relational Approach. Revista Economica, 67(5), 59–72.
dc.relation.isbasedonChaupain-Guillot, S., & Guillot, O. (2015). Health system characteristics and unmet care needs in Europe: an analysis based on EU-SILC data. The European Journal of Health Economics, 16, 781–796. https://doi.org/10.1007/s10198-014-0629-x
dc.relation.isbasedonCzibere, I., Rácz, A., Szilvási, H., Szikszai, Z., & Imre, S. (2019). Examination of life quality, mental conditions and cognitive status of people over the age of 90: Results of a Hungarian local research Central European Journal of Public Health, 27(1), 17–23. https://doi.org/10.21101/cejph.a4753
dc.relation.isbasedonEurostat. (2019). EU statistics on income and living conditions (EU-SILC) methodology. Retrieved September 16, 2021, from https://ec.europa.eu/eurostat/statistics-explained/index.php/EU_statistics_on_income_and_living_conditions_(EU-SILC)_methodology
dc.relation.isbasedonEurostat. (2021). EU Statistics on Income and Living Conditions microdata 2004–2019, release 1 in 2021. https://doi.org/10.2907/EUSILC2004-2019V.2
dc.relation.isbasedonFiorillo, D. (2020). Reasons for unmet needs for health care: the role of social capital and social support in some Western EU countries. International Journal of Health Economics and Management, 20(3), 79–98. https://doi.org/10.1007/s10754-019-09271-0
dc.relation.isbasedonHebák, P., Jarošová, E., Pecáková, I., Plašil, M., Řezanková, H., Vilikus, O., & Vlach, P. (2015). Statistické myšlení a nástroje analýzy dat [Statistical thinking and data analysis tools] (2nd ed.). Prague: Informatorium.
dc.relation.isbasedonHendl, J. (2006). Přehled statistických metod [Overview of statistical methods]. Prague: Portál.
dc.relation.isbasedonHoeck, S., Francois, G., Van der Heyden, J., Geerts, J., & Van Hal, G. (2011). Healthcare utilisation among the Belgian elderly in relation to their socioeconomic status. Health Policy, 99(2), 174–182. https://doi.org/10.1016/j.healthpol.2010.08.010
dc.relation.isbasedonJindrová, P., & Labudová, V. (2020). The Impact of Socio-economic and Demographic Determinants on Self-perceived Health. E&M Economics and Management, 23(4), 68–88. https://doi.org/10.15240/tul/001/2020-4-005
dc.relation.isbasedonKenkel, D. S. (1990). Consumer health information and the demand for medical care. The Review of Economics and Statistics, 72(4), 587–595.
dc.relation.isbasedonKhan, M. A., & Ul Husnain, M. I. (2019). Is health care a luxury or necessity good? Evidence from Asian countries. International Journal of Health Economics and Management, 19(2), 213–233. https://doi.org/10.1007/s10754-018-9253-0
dc.relation.isbasedonKim, Y., Park, I., & Kang, S. (2018). Age and gender differences in health risk perception. Central European Journal of Public Health, 26(41), 54–59. https://doi.org/10.21101/cejph.a4920
dc.relation.isbasedonKnaul, F. M., Wong, R., & Arreola-Ornelas, H. (2012). Financing Health in Latin America: Household Spending and Impoverishment. Cambridge, MA: Harvard Global Equity Initiative.
dc.relation.isbasedonKunzová, Š., & Hrubá, D. (2013). Health and behaviour Part I – Lifestyle and disease. Hygiena, 58(1), 23–28. https://doi.org/10.21101/hygiena.a0958
dc.relation.isbasedonLenhart, O. (2019). The effects of income on health: new evidence from the Earned Income Tax Credit. Review of Economics of the Household, 17(2), 377–410. https://doi.org/10.1007/s11150-018-9429-x
dc.relation.isbasedonMlčochová, V., & Papežová, K. (2012). Correlation of alcohol consumption and cigarette smoking. General Practitioner/Prakticky Lekar, 92(6), 339–341.
dc.relation.isbasedonMorkevičius, V., Norkus, Z., & Markevičiūtė, J. (2020). Risky health behaviours and socioeconomic inequalities in European countries: new insights from European Social Survey. Central European Journal of Public Health, 28(4), 251–259. https://doi.org/10.21101/cejph.a6112
dc.relation.isbasedonPeretti-Watel, P., Fresard, L., Bocquier, A., & Verger, P. (2016). Perceptions of cancer risk factors and socioeconomic status. A French study. Preventive Medicine Reports, 3, 171–176. https://doi.org/10.1016/j.pmedr.2016.01.008
dc.relation.isbasedonPopovic, N., Terzic-Supic, Z., Simic, S., & Mladenovic, B. (2017). Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data. PLoS ONE, 12(11), 1–20. https://doi.org/10.1371/journal.pone.0187866
dc.relation.isbasedonPuciato, D., Rozpara, M., Bugdol, M., Oleśniewicz, P., & Jáčová, H. (2020). Health-related Quality of Life and Socio-economic Status of the Unemployed. E&M Economics and Management, 23(3), 23–37. https://doi.org/10.15240/tul/001/2020-3-002
dc.relation.isbasedonRadulescu, V., Cetina, I., & Orzan, G. (2012). Key Factors that Influence Behavior of Health Care Consumer, the Basis of Health Care Strategies. Contemporary Readings in Law, 4(2), 992–1001.
dc.relation.isbasedonRoy, K., & Chaudhuri, A. (2008). Influence of socioeconomic status, wealth and financial empowerment on gender differences in health and health care utilization in later life: evidence from India. Social Science & Medicine, 66(9), 1591–1962. https://doi.org/10.1016/j.socscimed.2008.01.015
dc.relation.isbasedonSchmid, C. (2015). Consumer Health Information and the Demand for Physician Visits. Health Economics, 24(12), 1619–1631.
dc.relation.isbasedonSchokkaert, E., Steel, J., & Van de Voorde, C. (2017). Out-of-Pocket Payments and Subjective Unmet Need of Healthcare. Applied Health Economics and Health Policy, 15(5), 545–555. https://doi.org/10.1007/s40258-017-0331-0
dc.relation.isbasedonSocías, M. E., Koehoorn, M., & Shoveller, J. (2016). Gender Inequalities in Access to Health Care among Adults Livingin British Columbia, Canada. Women’s Health Issues, 26(1), 74–79. https://doi.org/10.1016/j.whi.2015.08.001
dc.relation.isbasedonSonik, R. A., Creedon, T. B., Progovac, A. M., Carson, N., Delman, J., Delman, D., & Cook, B. L. (2020). Depression treatment preferences by race/ethnicity and gender and associations between past healthcare discrimination experiences and present preferences in a nationally representative sample. Social Science & Medicine, 253, 112939. https://doi.org/10.1016/j.socscimed.2020.112939
dc.relation.isbasedonWorld Health Organization. (2006). Constitution of the World Health Organization. Retrieved March 16, 2022, from https://www.who.int/governance/eb/who_constitution_en.pdf
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjecthealthen
dc.subjectneed for healthcareen
dc.subjectconsumer behaviouren
dc.subjectincomeen
dc.subjecthouseholden
dc.subject.classificationI31
dc.subject.classificationP46
dc.titleCONSUMERS’ PERCEPTIONS OF HEALTH AND FACTORS INFLUENCING FULFILMENT OF THE NEED FOR HEALTHCARE IN EU COUNTRIESen
dc.typeArticleen
local.accessopen
local.citation.epage34
local.citation.spage19
local.facultyFaculty of Economics
local.filenameEM_3_2022_2
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue3
local.relation.volume25
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